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Paper Citation Record · LEDGER

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation

As of 20 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2508.14069.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.14069 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:05.754639Z

measured 69 of 69 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact17
  • verified fuzzy12
  • unresolved29
  • parse uncertain0
  • malformed identifier7
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db5ddfb5-c005-4a25-9839-58be47e234d9 · outbound

This paper cites Palanivinayagam, R.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Palanivinayagam, R

Reference 1

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Observation f99e24c4-60c9-478f-afda-e7e1a51bced0 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 2

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Observation 0d822466-6e2a-4ecb-937e-f13f986931fc · outbound

This paper cites Fefferman, S.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Fefferman, S

Reference 3

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Observation 1e02e170-064a-40f4-9fd9-5bd2e680ceac · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-15T17:39:05.306264Z digest=sha256:393915b36c80bd3e7e292f37a8d28bbf5d0a1fb885171245ddcce150edb60bd9

Observation 5ca9ffd8-16f3-434a-9252-da6ebaf85570 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-15T17:39:05.311426Z digest=sha256:51208ed69bb27124f24fc4d07b1896e5e90536f3c917fe98d651acf48546751e

Observation a11b8666-9df1-4cc9-8eb9-141b79df650b · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 6

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Observation 3d7d71e1-3c41-4346-98f6-d56732d6bf3a · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 7

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7eec4263-79e0-4c97-87cf-8d4917efe19a · outbound

This paper cites Haida, S.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Haida, S

Reference 8

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Observation f25e4069-e41a-4dd1-9e3d-f91684734a91 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 9

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Observation b2f39d2e-5d68-41cb-b1e9-cd8301e60357 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4575ce51-a12d-4281-b3ab-296bbbe44610 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e2f0a622-823f-4549-b716-8875c2476a9e · outbound

This paper cites Papalexopoulos, T.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Papalexopoulos, T

Reference 12

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 010ac1ff-0707-440f-9db6-ffcdd7f41fb8 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.348774Z digest=sha256:0c8029c950a3f92fe3a5530c6fa7476d409f8a234764f4bd5732ab362698e44b

Observation 5dd5a02a-f5dc-45c8-8c0b-001f50aa8392 · outbound

This paper cites Masters, Neural, Novel and Hybrid Algorithms for Time Series Prediction, 1st Edition, John Wiley & Sons, Inc., USA, 1995.doi:10.5555/526065.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Masters, Neural, Novel and Hybrid Algorithms for Time Series Prediction, 1st Edition, John Wiley & Sons, Inc., USA, 1995.doi:10.5555/526065

Reference 14

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Observation 0cf56997-ebb4-4858-a505-4444ed3babae · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-15T17:39:05.358808Z digest=sha256:f93de2fd1ab91741d9f3ca0aeff57453dd99314421c7460cde92ad64c4ae2bb5

Observation 136af021-3891-46e4-88d7-b9af3e40a7dd · outbound

This paper cites Priyadarsini, N.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Priyadarsini, N

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dc1a19d7-208d-4469-9b67-7f73cf822120 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-15T17:39:05.368973Z digest=sha256:ddde43f5f5aff24cc9082c009046a62ce358520a641d42ab3e1c2164b375d6a1

Observation 90751f61-950c-492d-8751-f61025f8bdcd · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d3adf287-7007-4f83-893b-56a9f6541517 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.378953Z digest=sha256:9eb002cd6e3269aa73467ac765d182350e98f96f8f586d5b5a75625a653167ea

Observation 4d1dcecc-0cbc-470f-867a-79fc58f4a6be · outbound

This paper cites Tulensalo, J.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Tulensalo, J

Reference 20

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.384566Z digest=sha256:da138610b90032c511548d9bb37ca7f406576c42dc7b62605393e1aa6c1fb612

Observation 05f2148f-fba5-4cd7-811a-81b838e9c22f · outbound

This paper cites Rosseel, B.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Rosseel, B

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.389926Z digest=sha256:26fced793b0adf92be53a96351ff5c89542838f9094115c983534fb476b4f503

Observation c610990f-7cd0-4c6e-b9a2-d2bd4998235e · outbound

This paper cites Huang, Missing data filling method based on linear interpolation and light- gbm, in: Journal of Physics: Conference Series, Vol.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Huang, Missing data filling method based on linear interpolation and light- gbm, in: Journal of Physics: Conference Series, Vol

Reference 22

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doi, observed 2026-08-15T17:39:06.156529Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6d828575-ddbf-4beb-b5ec-5c392b363751 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 23

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Observation c1089ee1-9b36-4eee-bdf6-3a7dac19dfb5 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bbf9bbe3-8dae-4b3a-9344-3273676ffc54 · outbound

This paper cites Gómez, A.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Gómez, A

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ba6a0f47-c51b-4b8c-811f-8ada63bd4b31 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 26

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verified exact
doi, observed 2026-08-15T17:39:06.091796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.423012Z digest=sha256:88d2f01777a7bd03a8c16c08553c1728a2a2e8627ba4f28224189e6fd8f30607

Observation bd0389bc-8f64-4b8d-a95e-41112250ef9a · outbound

This paper cites Wahba, Spline interpolation and smoothing on the sphere, SIAM Journal on Scientific and Statistical Computing 2 (1) (1981) 5–16.doi:10.1137/0902002.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Wahba, Spline interpolation and smoothing on the sphere, SIAM Journal on Scientific and Statistical Computing 2 (1) (1981) 5–16.doi:10.1137/0902002

Reference 27

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verified exact
doi, observed 2026-08-15T17:39:06.075644Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 829f70b7-9bb6-40c5-81ba-31cc070ddbf3 · outbound

This paper cites Rabbath, D.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Rabbath, D

Reference 28

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verified exact
doi, observed 2026-08-15T17:39:06.058805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.433489Z digest=sha256:1decd873b2bd9ff5f8ccedf29dddb3ef3abeb46d9447afb6f84c7af00037590f

Observation 0b5af019-9c23-4192-a808-9b83c4b933c4 · outbound

This paper cites Tjostheim, J.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Tjostheim, J

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.439862Z digest=sha256:b8dde784b61590d7c4b0df80043cc93771da2b0eb89c540c746296dfe9846852

Observation e077ffcc-bc16-4257-952f-82a8299b9b9e · outbound

This paper cites Priestley, Power spectral analysis of non-stationary random processes, Jour- nal of Sound and Vibration 6 (1) (1967) 86–97.doi:10.1016/0022-460X(67) 90160-5.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Priestley, Power spectral analysis of non-stationary random processes, Jour- nal of Sound and Vibration 6 (1) (1967) 86–97.doi:10.1016/0022-460X(67) 90160-5

Reference 30

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 79278262-565d-47f3-b150-1de2f2b3262b · outbound

This paper cites Edition, A.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Edition, A

Reference 31

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metadata mismatch
raw_fallback, observed 2026-08-15T17:39:06.695254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 99b4c884-18ab-4b1a-b333-43d217d97762 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 32

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verified exact
doi, observed 2026-08-15T17:39:06.022312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 417e78d0-98dd-45f9-9afb-f9660d4f9d94 · outbound

This paper cites Dombi, A.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Dombi, A

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.465762Z digest=sha256:e4c1e54bcddb319322245a41a14286b34a2fc0eb3f8a51e12c93f14ebf0d6300

Observation 59872508-217d-4266-9be2-ff5a33ec465b · outbound

This paper cites Poulinakis, D.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Poulinakis, D

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.470824Z digest=sha256:67f6fc7e708ccc4ec3192027c5f9b67eb87a9cbdc2146244e7402c1c05e7e11a

Observation c2e9d770-6395-4078-9a39-de84727981a7 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Process- ing Systems (2017).

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Vaswani, Attention is all you need, Advances in Neural Information Process- ing Systems (2017)

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.493569Z digest=sha256:01a588c84258292c7eb92074b94a4f26d83cb61c4c50f6dc48d9b9eee07f9035

Observation e83883db-ee01-49e6-b7b0-cc9b45afa6ea · outbound

This paper cites Aeronautics, S.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Aeronautics, S

Reference 44

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raw_fallback, observed 2026-08-15T17:39:07.604097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.529234Z digest=sha256:91d075d95a08e1620b32af202ce42ef7fff70893b18b040f88abbe30d46afa4a

Observation 66a3b3e4-9860-4d47-8cbf-858702ee606b · outbound

This paper cites Molla, Pjm hourly energy consumption data, https://www.kaggle.com/ datasets/robikscube/hourly-energy-consumption/data (2018).

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Molla, Pjm hourly energy consumption data, https://www.kaggle.com/ datasets/robikscube/hourly-energy-consumption/data (2018)

Reference 45

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raw_fallback, observed 2026-08-15T17:39:07.585918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.536474Z digest=sha256:ce43159e7d85d038634aeb48c80b5fc6fb58ef110545a89c7cfc1cbf4a07b4c7

Observation 2445dcc3-0efe-4731-8b17-75c6d406c493 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 46

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unresolved
raw_fallback, observed 2026-08-15T17:39:07.566672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.542536Z digest=sha256:04a624c1ae9d6a8eb7d7c652038428287866c081e9b63752e29ac426d831b6f0

Observation 7b16ce89-77cf-4bc7-ab86-eb423cc3f542 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 47

Resolution
verified exact
doi, observed 2026-08-15T17:39:05.880455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.549448Z digest=sha256:6db2e317bc345cdd9fbbf6a68672e3182cb259380cd6efba17afe6bd76945f38

Observation 7bbb1918-de53-4481-802d-a206e193af4f · outbound

This paper cites Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

Reference 48

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unresolved
no resolver link, observed 2026-08-15T17:39:05.556234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.556234Z digest=sha256:58db57e0f66ec6e5a4d805afc4b18953b21be3dc2e8d0137ac482c0066172579

Observation 245b11e8-3e82-442c-aed8-7cd4998b0d6b · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:05.563496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.563496Z digest=sha256:dd7ad74c6f5620537dafbc8d462997d4f9a7c73acba2caf59303c7edaee077ca

Observation 9d63aa64-3edd-4111-846f-9e5ff7301c8e · outbound

This paper cites Kwiatkowski, P.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Kwiatkowski, P

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.549354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.572660Z digest=sha256:c194f90acc78da284afa3798c1908cbb6ca5614dfcbb442fe94c49885ea3594a

Observation 56ebb5b2-34a1-45d4-a453-a66a7229da45 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 52

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unresolved
no resolver link, observed 2026-08-15T17:39:05.584973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.584973Z digest=sha256:dc89cc29fd31706902ba734fb1468b65766eb5996876e92b612883a9520515dd

Observation 2a090dc8-71cf-42f0-9d76-9b1182391937 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 53

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unresolved
raw_fallback, observed 2026-08-15T17:39:07.531239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.593785Z digest=sha256:9e8515edbb98ce6cc5e62258dfe17ec08f116d6b5f87b5d5449cc3631002f4c2

Observation 39f73434-1812-487a-ae6d-3928916823aa · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 54

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unresolved
no resolver link, observed 2026-08-15T17:39:05.613828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.613828Z digest=sha256:da6b28d524a7d1484850cafc60248bcc00865a709bc3740ab73e4dca35e7ead4

Observation 88e28cb1-74d8-4974-bcbb-7cdf81896537 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 55

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unresolved
no resolver link, observed 2026-08-15T17:39:05.619526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.619526Z digest=sha256:1780b928bf1b1c0ea48308a8132d0178f1934bc1eaec9cbceda65009b618f6a3

Observation 6894078b-5db6-4d13-ac73-dd5a94a72a10 · outbound

This paper cites De Myttenaere, B.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation De Myttenaere, B

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.510016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.624203Z digest=sha256:e891ab742b36651a8cad8c1579b0d6389eb4d8dd9d1c8010cec2903f19906f8f

Observation e506f5e9-db96-40f5-af25-cd40ced00aba · outbound

This paper cites Giavarina, Understanding bland altman analysis, Biochemia medica 25 (2) (2015) 141–151.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Giavarina, Understanding bland altman analysis, Biochemia medica 25 (2) (2015) 141–151

Reference 57

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no resolver link, observed 2026-08-15T17:39:05.630889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.630889Z digest=sha256:a252a10027891bba46713957c4406d492cefa40c15049f39e7c272997dd6f139

Observation 5fb44a72-5830-439b-b084-fd0e536519a4 · outbound

This paper cites Graves, J.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Graves, J

Reference 59

Resolution
malformed identifier
no resolver link, observed 2026-08-15T17:39:05.636908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.636908Z digest=sha256:3f06d2f75780ede3b57ac471451193dad5482f0f566f3eb391c6858ecc51606d

Observation 9347c073-0d2a-475b-85c4-8c193dee3762 · outbound

This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 60

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no resolver link, observed 2026-08-15T17:39:05.643447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.643447Z digest=sha256:d96fa16ac215f99cd87eaaf1c671df772c12dd0273070d5f8d55bb461cbd63cd

Observation d404250a-aaa8-489b-94ad-3d128548a663 · outbound

This paper cites Graves, S.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Graves, S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.492739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.648453Z digest=sha256:b666dbd6e5fdf9bbc51087b3c70d79ecf7b5938ee1fcdf76441c5614c6ca5f1d

Observation e28b20c9-37d4-4153-8080-973385fd2398 · outbound

This paper cites Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Reference 62

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no resolver link, observed 2026-08-15T17:39:05.654056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.654056Z digest=sha256:12a0fc2dc70963b069ad6f34f9987dc21e0a7f28c832c6c7e645ca5a1f6d6b9d

Observation a7e4d6c4-d4f1-442c-aaee-1c92c9852cfb · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 63

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verified exact
doi, observed 2026-08-15T17:39:05.962770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.659685Z digest=sha256:e861d45d124fd528d252653698f3d7b68c80a8d65b2f6e413bd8fad7560ec2f0

Observation f1159fdd-c6b6-4bb8-a100-30a39de241b9 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Deep Learning using Rectified Linear Units (ReLU)

Reference 64

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unresolved
no resolver link, observed 2026-08-15T17:39:05.665935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.665935Z digest=sha256:a563ebb96e216fc445333795d6d4eabe306648aaa0b8937367b8a44479ae81ac

Observation 249b2b5e-3ef0-4f55-8936-cc1727bec8de · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 65

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verified exact
doi, observed 2026-08-15T17:39:05.945801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.675400Z digest=sha256:dac9f7c8927075701ef2b282131f1cba135fef24a3a2b070dd4e767d738cd56b

Observation 0cd59ef8-a4ed-41bb-a015-9c982140ed0b · outbound

This paper cites Huang, M.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Huang, M

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.471986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.681642Z digest=sha256:4fc781e18ffd185b13e9ce044c9bdd8f3884deb736bcc9176c45eaf0943561d4

Observation 1bc8a21d-bbba-4343-89bd-0a11518f7ee6 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Process- ing Systems (2017).

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Vaswani, Attention is all you need, Advances in Neural Information Process- ing Systems (2017)

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.448695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.687698Z digest=sha256:b41f955f4fd39325a49464cafd7ecebcf9a1350ed6b5e266fe7f6c044a6f231e

Observation b7f51b62-b077-400d-a98d-085c465d8b9b · outbound

This paper cites Multi-Head Attention: Collaborate Instead of Concatenate.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Multi-Head Attention: Collaborate Instead of Concatenate

Reference 68

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unresolved
no resolver link, observed 2026-08-15T17:39:05.693924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.693924Z digest=sha256:13912c7de30e94856c6e17b03fd395a26d26a2b5cf24d5f1e22f6afd6717eb78

Observation 6f3cf215-fecd-4a99-8274-9da50ccc7f8c · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 69

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malformed identifier
no resolver link, observed 2026-08-15T17:39:05.700689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.700689Z digest=sha256:9ca5cd7c4790f3f57984ab5d25a8ce4df143a02e90bbc33618d760848b8bada7

Observation df805764-63cb-4be8-9bda-ab2797ddf180 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 70

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unresolved
no resolver link, observed 2026-08-15T17:39:05.707019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.707019Z digest=sha256:a24e5e07b7bbe5e942a3283ed445d1b8e57801a1eb24cd738ec534aaec34b733

Observation 3349e45f-d5c0-472f-81ea-9e5274c03388 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 71

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malformed identifier
doi_truncated, observed 2026-08-15T17:39:05.915175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.712129Z digest=sha256:c4595f6eb4ebd4df58dd383a16f6200a7593878a43a31a64a78a714847f6f3fe

Observation 0bb5d21b-6683-4c0d-9992-3a2ce552db15 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 72

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unresolved
no resolver link, observed 2026-08-15T17:39:05.718536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.718536Z digest=sha256:4d6281f032ea23cb89e72432d84966b01e93ce300c551b03a4e6c0f025bddaf3

Observation 84050c7d-4cee-4139-8296-5f03d541ff71 · outbound

This paper cites Anderson, The backshift operator in time series analysis, International Jour- nal of Mathematical Educational in Science and Technology 7 (2) (1976) 235– 241.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Anderson, The backshift operator in time series analysis, International Jour- nal of Mathematical Educational in Science and Technology 7 (2) (1976) 235– 241

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.429579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.724898Z digest=sha256:d19960b4f3b8e34e3da80e7bbb5f5d008ba46873861816d4c05c95e07d16cfb4

Observation 0b5fa29f-b071-4790-8882-99daab3c1927 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 74

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unresolved
raw_fallback, observed 2026-08-15T17:39:07.411206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.730793Z digest=sha256:409872ade5b6e70a7e1942846452f9a65d077548d1e14eba3c829ba29a53a08e

Observation 53c29cbe-c328-46b9-9c46-36647060b538 · outbound

This paper cites Shao, G.-F.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Shao, G.-F

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-15T17:39:07.392370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.737161Z digest=sha256:33a6ef5001b9d7aa680f509fca7737a251af7de1ff302f1d3c67a8f6f0f8594b

Observation b6e460eb-7c53-498b-83b9-d3e87a766656 · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-15T17:39:07.368859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.743356Z digest=sha256:0ce969ff3a8fc6fbd91609dffbfc806b64069fd62411422e1bc9e9dfd581bb28

Observation c038a090-28c8-4855-bc1f-0b03049fc76c · outbound

This paper cites an unresolved cited work.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:05.749189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.749189Z digest=sha256:bb74e459f91b7ea31e86e85876b8f9405be7c1e603779a5d0a9ddad0f37ea8c6

Observation 59c0e065-e057-4000-a18f-ec6e07be6b61 · outbound

This paper cites doi:10.17849/insm-47-01-31-39.1.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation doi:10.17849/insm-47-01-31-39.1

Reference 78

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verified exact
doi, observed 2026-08-15T17:39:05.898760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:39:05.754639Z digest=sha256:30372444a940b2d5098f74c9092f6a5ebde75256701a866de2b8546de270786a

Observation ce58604f-bc30-43f4-84be-d79da86d4d6a · outbound

This paper cites "It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games.

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation "It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games

Reference 270

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unresolved
no resolver link, observed 2026-08-15T17:39:05.604157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:05.604157Z digest=sha256:3ed2ba5f81cb06f5a372ed28a9725bcaf456fdd0837a92a9953f6bd085b0b8e7

Pith citing papers

No inbound Pith citation observations are available.